K&C Science Report – Phase 1 Synergetic Use of ALOS PALSAR, ENVISAT ASAR and Landsat TM/ETM+ Data for Land Cover and Change Mapping

نویسندگان

  • Francesco Holecz
  • Massimo Barbieri
  • Alessio Cantone
  • Paolo Pasquali
  • Stefano Monaco
چکیده

Interferometric ALOS PALSAR Fine Beam Single/Dual, multi-temporal ENVISAT ASAR Alternating Polarization, and Landsat-5 TM/-7 ETM+ data are used for the generation of land cover and change maps. In synthesis, the product generation foresees two main steps: The first one consists in a rigorous data pre-processing, including interferometric processing (PALSAR), geometric / radiometric calibration (PALSAR, ASAR, TM/ETM+), and multi-temporal speckle filtering (PALSAR, ASAR); as result, terrain geocoded coherence, sigma nought, and top-of-atmosphere reflectance products are obtained. The second part is dedicated to data classification and fusion. Classification is performed by means of a prior knowledge-based approach exploiting interferometric, multi-temporal intensity, and spectral signatures. Data fusion and change detection are subsequently applied at semantic level. Results – based on acquisitions over Malawi (country-wide) and on an area in Brazil – show that the synergetic use of data provided by these sensors allows the reliable identification of key land cover types (in primis cropped areas, bare soil areas, sparse and dense vegetated areas, forest clear cuts and burnt areas, water bodies) and their evolution over time, aimed at gathering essential information on the land cover status. In addition, it is shown that using the same repeat-pass interferometric ALOS PALSAR data pair, a Digital Elevation Model (DEM) with higher quality than the Shuttle Radar Topographic Mission (SRTM) can be generated unless the area is densely vegetated.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Forest and Forest Change Mapping with C- and L-band Sar in Liwale, Tanzania

As part of a Tanzanian-Norwegian cooperation project on Monitoring Reporting and Verification (MRV) for REDD+, 2007-2011 Cand L-band synthetic aperture radar (SAR) backscatter data from Envisat ASAR and ALOS Palsar, respectively, have been processed, analysed and used for forest and forest change mapping over a study side in Liwale District in Lindi Region, Tanzania. Land cover observations fro...

متن کامل

Limitations and Potential of Satellite Imagery to Monitor Environmental Response to Coastal Flooding

RAMSEY, E. III; WERLE, D.; SUZUOKI, Y.; RANGOONWALA, A., and LU, Z., 2012. Limitations and potential of satellite imagery to monitor environmental response to coastal flooding. Journal of Coastal Research, 28(2), 457–476. West Palm Beach (Florida), ISSN 0749-0208. Storm-surge flooding and marsh response throughout the coastal wetlands of Louisiana were mapped using several types of remote sensi...

متن کامل

Synergetic Use of Envisat-1/ Asar Img / Apg Data and Optical Spot Xs/xi Data for Land Cover and Agricultural Crops Mapping

RESUME The paper presents the results of land cover and crops identification achieved on the basis of the time series of 27 ENVISAT -1/ ASAR images acquired in Image Mode and Alternating Polarization Mode during the 2003 observing campaign for Malbork test site in northern Poland. The results are compared with those obtained from SPOT -4 multitemporal data. High degree of their similarity has b...

متن کامل

Combination of Genetic Algorithm and Dempster-shafer Theory of Evidence for Land Cover Classification Using Integration of Sar and Optical Satellite Imagery

The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification because of the complimentary properties of each data source. However, the challenges are: how to fully exploit the capabilities of these multiple data sources, which combined datasets should be us...

متن کامل

Radar Interferometry for Ground Subsidence Monitoring Using Alos Palsar Data

This paper describes the results using data from ALOS and ENVISAT satellites for the purpose of subsidence monitoring over underground coal mine sites in the state of New South Wales, Australia, using the differential interferometric synthetic aperture radar (DInSAR) technique. The quality of the mine subsidence monitoring results is mainly constrained by the noise due to the spatial and tempor...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009